Python线性回归实现房价预测

from sklearn import datasets
from sklearn.linear_model import LinearRegression
from time import time
start = time()
loaded_data = datasets.load_boston()
data_X = loaded_data.data
data_y = loaded_data.target
model = LinearRegression()
#选择线性回归模型
model.fit(data_X,data_y)
#进行模型的训练
print(model.predict(data_X[:4,:]))#预测值
print(data_y[:4])#真实值
stop = time()
print('程序的的运行时间：'+str(stop-start)+'秒')